Lead Data Scientist
165k - 190k USD
Hybrid
Full Time
#Engineering
#Data Analysis
#Python
#SAS
#Healthcare
Bold is the leading healthy aging platform, offering personalized, evidence-based exercise programs for Medicare members that help prevent falls, reduce musculoskeletal pain and disability, and increase physical activity levels. Innovative Medicare health plans and provider groups rely on Bold to deliver engaging, clinically sound exercise programs that members love to use and that achieve significant health outcomes. Bold is backed by leading investors, including Rethink Impact, Andreessen Horowitz, Khosla Ventures, GingerBread Capital, Primetime Partners, and Maveron.
Bold is looking for our first Lead Data Scientist to help develop a long-term vision for how our platform will extend the health span of our members with available data.
To help us achieve our mission, we are looking to hire a Lead Data Scientist who is great at working cross-functionally to solve business challenges and envisions a world where every aging adult has access to personalized, easy-to-follow online workouts. This is a full time role located in LA.
As a key member of our team, here’s what you’ll do:
Key Outcomes:
- Create measurement frameworks and test user hypotheses to help our product and marketing teams develop features for our members
- Publish studies as a part of our clinical outcomes team that show the impact of our platform on our members’ health
- Work with our leadership team to solve cross-functional problems facing the business
- Educate our team on how to approach data problems with intellectual rigor and objectivity
- Develop a long-term vision for how our platform will extend the health span of our members with available data
The most important skills for the role are*:
- You have 5+ years of data and/or clinical experience at a high-performing healthcare organization or startup
- You are proficient in conducting statistical analyses using Python, R, or SAS, as well as in designing quasi-experiments to validate assumptions
- You are adept in managing large datasets, conducting ROI analysis using claims data, and understanding healthcare claims codes and regulations
- You are able to integrate and analyze Apple HealthKit data, develop in-product and ad-hoc reports, and perform population-level analyses
- You actively seek out feedback and collaborate often with leaders and subject matter experts to improve your output and your broader skillset
- You are eager to work with focused intensity
- You are creative, proactive, and excited about exploring new ideas that will help us better understand the business
- You are comfortable operating with uncertainty and unknowns
- You are ambitious and want to build something noteworthy in healthtech
- You love building businesses - the idea that your work can help accelerate the growth of an early-stage startup is motivating to you
*We know people from historically underrepresented communities are less likely to apply if they don’t meet all of the above criteria. Please apply anyway! We want people who are fast learners, eager to take on new challenges and will help us build a best in class company that will change what it means to age.
Interested? Great! Here’s what you should know:
At Bold we know that our people are indispensable to achieving our mission, and we are building an inclusive environment that enables everyone to do their best work. In that spirit, we deliberately hire people from all walks of life — including, but not limited to, race, gender identity, sexual orientation and disability status. If you’re motivated by our mission and eager to contribute to our team and culture, we’d love to hear from you.
Compensation:
We’re committed to an inclusive, consistent, and equitable approach to compensation and anticipate that this position will earn between $165-190k annually. The exact salary will depend on the amount of relevant and transferable experience you bring to the role. You will also receive meaningful equity in the form of a stock option grant.
